Exploring Effective Zero Trust Architecture for Defense Cybersecurity: A Study

Y Kim, SG Sohn, HS Jeon, SM Lee… - KSII Transactions on …, 2024 - koreascience.kr
Abstract The philosophy of Zero Trust in cybersecurity lies in the notion that nothing
assumes to be trustworthy by default. This drives defense organizations to modernize their …

[PDF][PDF] Predicting infectious disease outbreaks with machine learning and epidemiological data

SZ Rahman, R Senthil, V Ramalingam, R Gopal - J. Adv. Zool, 2023 - academia.edu
Over the past several years, there has been a notable shift in the international public health
arena, mostly driven by the use of machine learning methodologies and epidemiological …

Mathematical Modeling of Cyberattack Defense Mechanism using Hybrid Transfer Learning with Snow Ablation Optimization Algorithm in Critical Infrastructures

MK Ishak - IEEE Access, 2025 - ieeexplore.ieee.org
Cybersecurity is a significant topic that has turned into an efficient one at present owing to
the increasing dependency on interconnected methods and technology. As digitalization …

[PDF][PDF] Automatic Kidney Stone Detection Using Deep learning Method

PS Ramesh, S Patel, KD Bamane… - Journal of …, 2023 - pdfs.semanticscholar.org
Kidney stone disease is a common urological illness that affects millions of people
worldwide. The identification of kidney stones early and accurately is critical for timely …

[PDF][PDF] Alzheimer Disease Detection using AI with Deep Learning based Features with Development and Validation based on Data Science

KS Krishna, KJ Sarma, KD Bamane… - Journal of …, 2023 - pdfs.semanticscholar.org
Abstract Alzheimer's disease (AD), a neurological condition that worsens over time, affects
millions of individuals worldwide. Because of this, effective intervention and therapy depend …

IoT Revolutionization using Federated Learning and Decentralized AI on Edge Devices

D Chaudhary, SK Verma, S Pundir… - … and Informatics (IC3I …, 2024 - ieeexplore.ieee.org
This research proposes a novel strategy for addressing the limitations of centralized
architectures in IoT data processing. Traditional systems experience significant bandwidth …

Optimistic Boosting Internet Connection Throughput by Incorporating Blockchain Filters into Network Infrastructure

CA Bhuvaneswari, N Garg, BR Supreeth… - … and Smart Electrical …, 2023 - ieeexplore.ieee.org
This study examines how blockchain filters might modify network architecture to boost
internet speed. This novel strategy may address the growing need for faster, more reliable …

Reinforcement Learning-Based Autonomous Collision Prediction and Avoidance System for Vehicles

S Jagan, GK Jadhav, C Priya… - … and Smart Electrical …, 2023 - ieeexplore.ieee.org
This study investigates the feasibility developing an Autonomous Collision Prediction and
Avoidance System (RL-ACPAS) based on Reinforcement Learning automobiles in light of …

Incorporating Triple Entry Accounting as an Audit Tool—Enhancing Modern Accounting Systems

P Dixit, H Harwani, R Amarsela, K Patel… - Journal of Informatics …, 2024 - jier.org
Despite the advancements in modern accounting systems, fraud remains a prevalent issue,
necessitating extensive time and financial resources for audits. Integrating modern …

[PDF][PDF] 5G Mobile Communication Integrating Robot Controller Communication Model

AM Kuthe, U Rajender, MC Poonguzhali… - Journal of Harbin …, 2023 - researchgate.net
In broadening its applicability to a variety of industries, 5G technology not only meets the
vast data traffic demands but also broadens the potential for the development of intelligent …